In the new round of competition for industrial internet technologies, Nantong Wu Xi Information Technology Co., Ltd. has delivered a new response. The company applied for a patent titled ...

The effective integration of data and knowledge from many disparate sources will be crucial to future drug discovery. Data integration is a key element of conducting scientific investigations with ...

Data integration is a process that can't be rushed, and one that comes with a lot questions. A few questions that are usually front of mind these days include: How should I offload to Hadoop?

This data integration tools list has some of the best-known and most powerful applications. Learn about top data integration tools.

Getting a handle on your entire, hybrid data landscape starts with a thorough data discovery and dependency mapping process along with an impact analysis. Here’s how to pull it off.

This initial portion of the data integration process can be decomposed into an actionable workflow, which may be automated and repeatable across projects. Specifically, the pre-ETL (extract, transform ...

If you're considering using a data integration platform to build your ETL process, you may be confused by the terms data integration and ETL. Here's what you need to know about these two processes.

This is where enterprise software vendors differ in terms of the quality of data integration and how they help their customers improve decision-making.

Integrating data is one of the thorniest challenges in business intelligence and analytics – achieving it is technically and organisationally complex, while it is gaining in importance all the time.